Edinburgh Research Explorer

Prof Bob Fisher

Chair in Computer Vision

  1. 2012
  2. A filtering mechanism for normal fish trajectories

    Beyan, C. & Fisher, R. B., 2012, Pattern Recognition (ICPR), 2012 21st International Conference on. p. 2286-2289 4 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  3. A hierarchical extension to 3D non-parametric surface relief completion

    Breckon, T. P. & Fisher, R. B., 2012, In : Pattern Recognition. 45, 1, p. 172-185 14 p.

    Research output: Contribution to journalArticle

  4. Long-term underwater camera surveillance for monitoring and analysis of fish populations

    Boom, B., Huang, P. X., Beyan, C., Spampinato, C., Palazzo, S., He, J., Beauxis-Aussalet, E., Lin, S-I., Chou, H-M., Nadarajan, G., Chen-Burger, J., van Ossenbruggen, J., Giordano, D., Hardman, L., Lin, F-P. & Fisher, B., 2012, 2012 21st international conference on pattern recognition (ICPR 2012). Red Hook : Curran Associates, Inc., 4 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  5. Supporting ground-truth annotation of image datasets using clustering

    Boom, B. J., Huang, P. X., He, J. & Fisher, R. B., 2012, Pattern Recognition (ICPR), 2012 21st International Conference on. Institute of Electrical and Electronics Engineers (IEEE), p. 1542-1545 4 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  6. Understanding fish behavior during typhoon events in real-life underwater environments

    Spampinato, C., Palazzo, S., Boom, B., Ossenbruggen, J., Kavasidis, I., Salvo, R., Lin, F-P., Giordano, D., Hardman, L. & Fisher, R. B., 2012, In : Multimedia Tools and Applications. 58, 2, p. 1-38 38 p.

    Research output: Contribution to journalArticle

  7. Non-melanoma skin lesion classification using colour image data in a hierarchical K-NN classifier

    Ballerini, L., Fisher, R. B., Aldridge, B. & Rees, J., 1 May 2012, Biomedical Imaging (ISBI), 2012 9th IEEE International Symposium on. Institute of Electrical and Electronics Engineers (IEEE), p. 358-361 4 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  8. Using multi-dimensional scaling (MDS) and hierarchical clustering, novices can sub-classify basal cell carcinomas (BCCs) in a similar manner to experienced dermatologists

    Aldridge, R. B., Zanotto, M., Ballerini, L., Fisher, R. B. & Rees, J. L., Sep 2012, In : Journal of Investigative Dermatology. 132, p. S70-S70 1 p.

    Research output: Contribution to journalMeeting abstract

  9. Hierarchical Classification for Live Fish Recognition

    Huang, P. X., Boom, B. & Fisher, B., 7 Sep 2012, British Machine Vision Conference 2012 Student Workshop. de Campos, T. (ed.).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  10. 2013
  11. A Color and Texture Based Hierarchical K-NN Approach to the Classification of Non-melanoma Skin Lesions

    Ballerini, L., Fisher, R. B., Aldridge, B. & Rees, J., 2013, Color Medical Image Analysis. Celebi, M. E. & Schaefer, G. (eds.). Springer Netherlands, p. 63-86 24 p. (Lecture Notes in Computational Vision and Biomechanics; vol. 6).

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

  12. Approximate Nearest Neighbor Search to Support Manual Image Annotation of Large Domain-specific Datasets

    Boom, B. J., Huang, P. X. & Fisher, R. B., 2013, Proceedings of the International Workshop on Video and Image Ground Truth in Computer Vision Applications. New York, NY, USA: ACM, p. 4:1-4:8 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

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